Detection of SST fronts from high-resolution model and its preliminary results in the South China Sea

2020 ◽  
Author(s):  
Shihe Ren ◽  
Xueming Zhu ◽  
Marie Drevillon ◽  
Hui Wang ◽  
Yunfei Zhang ◽  
...  
Keyword(s):  
High Resolution ◽  
South China Sea ◽  
South China ◽  
Detection Algorithm ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Strip Shape ◽  
Seasonal Signals ◽  
The Taiwan Strait

AbstractA frontal detection algorithm is developed with the capability of detecting significant frontal segments of sea surface temperature (SST) in the high resolution South China Sea Operational Forecasting System (SCSOFS). In order to effectively obtain frontal information, a gradient-based Canny edge detection algorithm is improved with post-processing designed for high resolution numerical model, aiming at extracting primary ocean fronts, meanwhile ensuring the balance of frontal continuity and positioning accuracy. Metrics of frontal probability and strength are used to measure the robustness of the results in terms of mean state and seasonal variability of frontal activities in the South China Sea (SCS). Most fronts are found in the nearshore and forming a strip shape extending from the Taiwan Strait to the coast of Vietnam. The SCSOFS is found to reproduce strong seasonal signals dominating the variability of the frontal strength and occurrence probability in the SCS. We implement the algorithm on the daily-averaged SST derived from two other SST analyses for inter-comparison in the SCS.

Seawater Temperature Seasonality in the South China Sea During the Late Holocene Derived From High-Resolution Sr/Ca Ratios of Tridacna Gigas

2015 ◽  
Vol 83 (2) ◽  
pp. 298-306 ◽  
Author(s):  
Hong Yan ◽  
Liguang Sun ◽  
Da Shao ◽  
Yuhong Wang
Keyword(s):  
High Resolution ◽  
South China Sea ◽  
South China ◽  
Late Holocene ◽  
Seawater Temperature ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Tridacna Gigas ◽  
Temperature Seasonality

Temperature seasonality, the difference between summer and winter temperature, has significant influences on global terrestrial and marine ecosystems. However, most of proxy-based climate records are of limited temporal resolution and thus insufficient to quantify the past temperature seasonality. In this study, high-resolution Sr/Ca ratios of modern (live-caught) and fossil (dead-collected) Tridacna gigas shells from the South China Sea (SCS) were used to reconstruct the seawater temperature seasonality during the late Holocene. The averaged seawater temperature seasonality around 2165 ± 75 BC (4.46 ± 1.41°C, derived from the data of 18 yr) were similar to the seasonality of recent decade (4.41 ± 0.82°C during AD 1994–2005), but the temperature seasonality around AD 50 ± 40 (3.69 ± 1.37°C, derived from the data of 48 yr) and AD 990 ± 40 (3.64 ± 0.87°C, derived from the data of 11 yr) was significantly lower than that during AD 1994–2005. The reduced seasonality around AD 990 ± 40 was attributable to the unusually warm winter during the medieval times, probably caused by the weakening of East Asian Winter Monsoon. Our study highlighted the potential of T. gigas shells in providing high-resolution seasonality climate information during the late Holocene.

scholarly journals On the high resolution regional weather forecast model (HRM) and forecasting tropical cyclone motion over the south china sea

2005 ◽  
Vol 27 (4) ◽  
pp. 193-203
Author(s):  
Le Duc ◽  
Le Cong Thang ◽  
Kieu Thi Xin
Keyword(s):  
High Resolution ◽  
South China Sea ◽  
South China ◽  
Weather Forecast ◽  
Forecast Model ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Weather Forecast Model ◽  
Slow Moving

Chan (1995) [2] has found that, only 70% in 60 cases of the tropical cyclone (TC) movement test (TMT-90) developed from steering flows. The 30% remain of cases have to be explained by nonbarotropic processes. We are of the opinion that all weak, slow-moving and unexpected changing TCs over the South China Sea are in this 30% set. The nonlinear interaction between barotropic and nonbarotropic processes has affected on motion and structure of such TCs. In this paper, we use the high resolution weather forecast model (HRM), which is able to simulate meso-scale phenomena in limited regions, to predict motion of TCs in the South China Sea in 2002-2004, including two typical weak, slow-moving and unexpected changing TCs Mekhala and Nepartak. We have chosen two forecast domains with different areas and resolutions. The results show that with the smaller domain, appropriate buffer and higher resolution HRM can predict better motion of TCs operating in the South China Sea.

Syn-rift magmatic characteristics and evolution at a sediment-rich margin: Insights from high-resolution seismic data from the South China Sea

2021 ◽  
Vol 91 ◽  
pp. 81-96
Author(s):  
Cuimei Zhang ◽  
Zhen Sun ◽  
Gianreto Manatschal ◽  
Xiong Pang ◽  
Ning Qiu ◽  
...  
Keyword(s):  
High Resolution ◽  
South China Sea ◽  
South China ◽  
Seismic Data ◽  
The South China Sea ◽  
The South ◽  
China Sea
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